CEFAS509274f7-a058-4c70-bfe4-840b3c38df9a English dataset Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk pointOfContact 2023-10-31T12:49:20 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 Bristol Channel, western English Channel, Celtic Sea Plankton Surveys - RV Cirolana 03/1990 2016-03-09 publication 2023-10-31 revision 2016-03-07 creation CEFAS3787 https://data.cefas.co.uk Analysis of plankton samples collected on a series of surveys in 1990 to determine the extent and timing of sole (Solea solea) spawning. Numbers of ichthyoplankton, Nephrops larvae and edible crab (Cancer pagurus), along with associated positional and environmental data (temperature and salinity). Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk originator Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk custodian Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk distributor Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) data.manager@cefas.co.uk owner notPlanned Microzooplankton Phytoplankton Zooplankton SeaDataNet P03 parameter discovery vocabulary 2011-03-25 revision Plankton Advice Analysis Management Monitoring GEMET, version 1.0 2008-06-01 publication Species distribution GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Water column SeaVoX Vertical Co-ordinate Coverages 2010-05-18 revision Marine Environmental Data and Information Network MEDIN metadata record availability 2012-01-11 publication data.gov.uk MEDIN metadata record availability 2012-01-11 publication otherRestrictions noLimitations otherRestrictions Public data - no limitations to reuse 1000 English biota -12.00 -1.00 48.00 52.50 1990-03-09 1990-03-13 Delimited Geographic Information System Unknown https://data.cefas.co.uk/view/3787 Cefas Data Portal download The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols. dataset INSPIRE Data Specification on Species Distribution – Technical Guidelines 2013-12-10 publication false See the referenced specification Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication true See the referenced specification A series of surveys to estimate the spawning stock biomass of sole (*Solea solea*) in the Bristol Channel area (see also separate records for surveys Corystes 4 and 6/89), western English Channel and Celtic Sea. Identity where possible of all species of fish eggs and larvae determined. Developmental staging for eggs of sole and plaice and for edible crab larvae undertaken. Data consists of the numbers of fish eggs and larvae, crab larvae, along with associated positional data and volumes filtered, from the main net samples. It does not include all LHPR sample analysis. **Associated Datasets: **Temperature and salinity "V" profiles are available at each sampling position. Continuous near-surface (3m) temperature and salinity data are available for complete cruises. Samples were collected using a 76cm High Speed Tow Net, a 53cm Tow Net fitted with a Guildline Conductivity Temperature Depth (CTD) monitoring system and a Longhurst-Hardy Plankton Recorder.Sampler deployment:The sampler was deployed in a double oblique tow from the surface to within 2 m of the seabed. Veering and hauling speeds were manually adjusted to ensure that each depth band was sampled equally. At shallow stations, multiple double oblique dives were necessary to enable a sufficient volume of water to be filtered. A minimum sampler deployment time of 15 minutes was aimed for. On recovery, the net was carefully washed down and the sample collected from the end bag. Each sample was then fixed using buffered formaldehyde solution and transported to the participating laboratories for sorting and identification.Sample analysis:Fish eggs and larvae were picked out from all samples by eye and, whenever practicable, the whole sample was sorted. However sub-sampling was at times necessary. Sub-sampling was carried out using a Folsom splitter. Fish larvae were readily identified unless they had been badly damaged during collection or were prematurely hatched. For some groups such as the sandeels (Ammodytidae) and the group of Gadidae commonly called rocklings, individuals were not identified to the species level. Fish eggs were initially split into three groups on the basis of the presence or absence of oil globules. Those containing either a single or many oil globules could usually be identified to the species level. Eggs with no oil globules were more difficult to identify. Some of these species such as cod (*Gadus morhua*), sprat *(Sprattus sprattus*), long rough dab (*Hippoglossoides platessoides*), dragonet *(Callionymus* spp.) and plaice*(Pleuronectes platessa*) were identified because of their size or unique features. Unidentified eggs in this group were recorded as egg diameters.Data storage:The raw data were stored on an Access database. The various data files were stored on the database in a series of tables linked by having the content of certain fields in common. All routine calculations, calibration changes and conversions were carried out on the database. The data tables (but not queries) have now been extracted into text files. Plankton data are normally expressed as either number of organisms per m3 or per m2. The number per m3 is obtained by dividing the numbers per sample by the volume filtered, calculated from the sampler flowmeters. Number per m2 is obtained by multiplying the number per m3 by the mean sampled depth during a deployment. MEDIN 3.1.1